Lead endtoend analysis of largescale multisource datasets using Big Data technologies driving insights for strategic and operational decisionmaking
Design develop and optimize complex analytical queries using Starburst TrinoPresto to enable quick federated access across enterprise data sources
Build manage and optimize analytics workflows in Databricks using SQL PySpark and Python for scalable data processing
Partner closely with Data Engineering Architecture and Platform teams to influence data models analytics architecture and performance optimization
Translate ambiguous business problems into structured analytical approaches and clearly communicate findings trends and recommendations to senior stakeholders
Define and enforce best practices for data quality validation reconciliation and governance within analytics solutions
Mentor junior and midlevel analysts providing technical guidance code reviews and analytical best practices
Support executive reporting dashboards and advanced adhoc analysis as required
Contribute to continuous improvement of analytics processes standards and reusable frameworks710 years of experience as a Data Analyst Senior Data Analyst working in largescale enterprise data environments
Strong handson experience with Big Data ecosystems Hadoop Hive Spark distributed data platforms
Proven experience using Starburst TrinoPresto for complex highperformance analytical queries
Extensive experience with Databricks including Databricks SQL Sparkbased analytics and notebook development